Training

Is it right for me?

This course is aimed at advanced PhD students and post-doctoral researchers who are applying or planning to apply high throughput sequencing technologies and bioinformatics methods in their research.
The aim of this course is to familiarise the participants with advanced data analysis methodologies and provide hands-on training on the latest analytical approaches.

What will I learn?

Lectures will give insight into how biological knowledge can be generated from RNA-seq and ChIP-seq experiments and illustrate different ways of analyzing such data. Practicals will consist of computer exercises that will enable the participants to apply statistical methods to the analysis of RNA-seq and ChIP-seq data under the guidance of the lecturers and teaching assistants.

Familiarity with the technology and biological use cases of high throughput sequencing is required, as is some experience with R/Bioconductor (basic understanding of the R syntax and ability to manipulate R objects) and the Unix/Linux operating system.

What will it cover?

The course covers data analysis of RNA-Seq and ChIP-Seq experiments.
Topics will include: short read alignment using Bowtie/BWA; data handling and visualisation, region identification, differential expression, data quality assessment and statistical analysis, using R/Bioconductor.